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Paper Citation Record · LEDGER

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion

As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2505.07528.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.07528 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:18:57.034972Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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  • verified fuzzy20
  • unresolved45
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation e8b02096-e7d2-4404-80a7-1596ce8d4dd9 · outbound

This paper cites Claude 3.7 sonnet: Hybrid reasoning model, state-of-the-art coding skills, computer use, and 200k context window, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Claude 3.7 sonnet: Hybrid reasoning model, state-of-the-art coding skills, computer use, and 200k context window, 2025

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0fdb43b6-9cc7-4543-a6c1-6dc45d583a89 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Internal State of an LLM Knows When It's Lying

Reference 2

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Observation 8d2ead0b-f716-4ed8-85be-aef5d1f8fe7c · outbound

This paper cites Audio chord recognition with recurrent neural networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Audio chord recognition with recurrent neural networks

Reference 3

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raw_fallback, observed 2026-08-15T22:18:58.234199Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 259a97b7-080f-4783-8b07-4bcfbe963366 · outbound

This paper cites Routledge, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Routledge, 2017

Reference 4

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raw_fallback, observed 2026-08-15T22:18:58.222489Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.873899Z digest=sha256:968c4161546ecd1ab7ddfe8986790068545f69cb75930139e5dc6aa5f6d36921

Observation f4c39e73-14a0-4955-a22a-10e9333ef8a6 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

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source=pdf_text observed=2026-08-15T22:18:55.877156Z digest=sha256:3d9a406f870090499c33931858cfe8cc860de79da64d0b19ec5dee54ae9a5dd6

Observation 1a17a650-ac3d-4328-95e3-c7da7762d72e · outbound

This paper cites ChromaDB: AI-native open-source embedding database.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion ChromaDB: AI-native open-source embedding database

Reference 6

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raw_fallback, observed 2026-08-15T22:18:58.212666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f35d44a6-2830-42cb-ab72-09d3a4f83748 · outbound

This paper cites How to remove or control confounds in predictive models, with applications to brain biomarkers.GigaScience, 11:giac014, 2022.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion How to remove or control confounds in predictive models, with applications to brain biomarkers.GigaScience, 11:giac014, 2022

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.886031Z digest=sha256:53bf7e7bf1e0ad3a3658349928e09d67b11f0ce5f2ab76f541d4b2e0f1e71f5a

Observation 2e65878e-be1d-45fa-990d-24fbaf23c009 · outbound

This paper cites Deepseek-r1 release, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Deepseek-r1 release, 2025

Reference 8

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raw_fallback, observed 2026-08-15T22:18:58.187546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.889205Z digest=sha256:fdfe0a76e2ab0f606e9bbffec6d5ea30bd9e6314929a9dff4841ff48b83f77b6

Observation d1f2547d-84fb-461c-8ffd-bc02216b6be5 · outbound

This paper cites A mathematical framework for transformer circuits.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A mathematical framework for transformer circuits

Reference 9

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.893134Z digest=sha256:6187098020ae8b2b8fc102bc21b50059b8c78f1db6dc1fe38cf2bda859b0b6a1

Observation 130013a0-74ef-4bf8-88e7-db8896f6a4fc · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Ragas: Automated evaluation of retrieval augmented generation

Reference 10

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Observation 3ca87547-6bdc-4c46-815a-f05e9d545c68 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 11

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source=pdf_text observed=2026-08-15T22:18:55.899292Z digest=sha256:876f0f2cf04ca3e34b59934ee5593af921f902b61debcbd9962b95e45c727d43

Observation 0a1fb5c1-31a2-4fc1-b3ea-931af8b55412 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 12

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source=pdf_text observed=2026-08-15T22:18:55.902717Z digest=sha256:0ce5d75e55f3175dd39c58a6f302994b26c3adc144870231ca5b8bd8cb1283ca

Observation fe91fb74-de08-4c39-a398-ef746591b493 · outbound

This paper cites Information Flow Routes: Automatically Interpreting Language Models at Scale.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Information Flow Routes: Automatically Interpreting Language Models at Scale

Reference 13

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source=pdf_text observed=2026-08-15T22:18:55.958059Z digest=sha256:2c15dbd1004edc3eeb73f6ea458074426f6af5866260237d17bf28f8f3e6b699

Observation 9a808685-4c0c-40cf-ba41-2a6a9fcc6fe6 · outbound

This paper cites A primer on the inner workings of transformer-based language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A primer on the inner workings of transformer-based language models

Reference 14

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raw_fallback, observed 2026-08-15T22:18:58.101947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.961817Z digest=sha256:f4d343f4855cbc78cfa1c83ebc4026948926207e873146c8cc171c97d6400862

Observation 39915e59-6aa8-430e-8e2b-eae4c23cc336 · outbound

This paper cites Costa-jussà.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Costa-jussà

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:55.966132Z digest=sha256:626a1915d2003556590377d342f6c511f8cbe932d4c032f2861657b7d665c958

Observation 67f4fc22-eff9-4f11-8317-13c3be2df9c7 · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 16

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Observation afa0780f-0959-4f02-8660-631d6a19d49d · outbound

This paper cites Peer review of gpt-4 technical report and systems card.PLOS digital health, 3(1):e0000417, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Peer review of gpt-4 technical report and systems card.PLOS digital health, 3(1):e0000417, 2024

Reference 17

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Observation b6a7948c-2c72-4474-9a31-88212a0e7ff3 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Feed-Forward Layers Are Key-Value Memories

Reference 18

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source=pdf_text observed=2026-08-15T22:18:56.085588Z digest=sha256:e2c631036d4c6876b368af6fdb00dc7684d2d4c8100fba04a68cbedf670da6f8

Observation b9635040-92e3-447c-a9e7-5cff8df10361 · outbound

This paper cites The Llama 3 Herd of Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Llama 3 Herd of Models

Reference 19

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source=pdf_text observed=2026-08-15T22:18:56.089679Z digest=sha256:bb8d7281bb13429ee08ab82b6e1eb75157fb45976478ace6a2ac159ce12a24a3

Observation c1c4439f-3bb8-4544-873c-73c65764cd8d · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence Transduction with Recurrent Neural Networks

Reference 20

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source=pdf_text observed=2026-08-15T22:18:56.093610Z digest=sha256:39077b1cd003a5dc821ef9e1101b1fc369d84ad3aae164890c7232617c5bedbb

Observation b9b828e8-0eef-414e-8e82-20f5d57e74b2 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Inspecting and Editing Knowledge Representations in Language Models

Reference 21

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source=pdf_text observed=2026-08-15T22:18:56.141619Z digest=sha256:0438875ed82081a0bcba7347f7111d6c2bd6a4c9c578e69f716a5d29d47f93d6

Observation 5c4c3be1-a461-426c-8e70-fd5242a40e44 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43 (2):1–55, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43 (2):1–55, 2025

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.145529Z digest=sha256:54b7999b001bbd5cebaf08a59d3aebc296675d040c3af365a569471c9eecbc7f

Observation 10f32b16-4c87-4ae1-ab6e-4b617b208123 · outbound

This paper cites To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.149156Z digest=sha256:175ce3128d92881e4f0f2d4573c86c50aef7588401ccdeac19594bceca90afe3

Observation 856e4542-df0d-4854-819c-6254d9f24b21 · outbound

This paper cites Language Models (Mostly) Know What They Know.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Language Models (Mostly) Know What They Know

Reference 24

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source=pdf_text observed=2026-08-15T22:18:56.154518Z digest=sha256:ae70f938de54c989863306bb8f2d05f9f0ba0e836103af0f142497c3bc2dbc45

Observation 6b22f5fb-d4a0-4d6d-a4b7-f69f40797ed7 · outbound

This paper cites Control of confounding in the analysis phase–an overview for clinicians.Clinical epidemiology, pages 195–204, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Control of confounding in the analysis phase–an overview for clinicians.Clinical epidemiology, pages 195–204, 2017

Reference 25

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raw_fallback, observed 2026-08-15T22:18:57.977297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.158459Z digest=sha256:08f98de906443d0f2f1327442d00262b80a58ec765cfe8139d320e92167a55b0

Observation 34b25f62-41c8-4db6-a9be-ee9fbc4f86e1 · outbound

This paper cites Calibrated language models must hallucinate.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Calibrated language models must hallucinate

Reference 26

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raw_fallback, observed 2026-08-15T22:18:57.965090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.161621Z digest=sha256:428444d3a59bdac2ba5ab5954730c9578355c2fe5f7f6bdef9adaf142fa8618f

Observation fa6660ff-394a-41c6-9ecb-bb57e7852527 · outbound

This paper cites Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Incorporating Residual and Normalization Layers into Analysis of Masked Language Models

Reference 27

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source=pdf_text observed=2026-08-15T22:18:56.254476Z digest=sha256:247a9323a9afb0cc71405b47d74b975d2b5aa2b691f44e0de9b732aff86ff819

Observation 6745185a-d31e-4215-b09e-2e28081613da · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 28

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source=pdf_text observed=2026-08-15T22:18:56.290921Z digest=sha256:f6b36734546b34fe608a23c805a167d764d471e9c1426dec8b1bd73c52b166fa

Observation 3afdb703-5f4a-4cc1-b65d-52759150136a · outbound

This paper cites Evaluating the Factual Consistency of Abstractive Text Summarization.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 29

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source=pdf_text observed=2026-08-15T22:18:56.295101Z digest=sha256:c27cac8cec94a893c4e34aa9ddae875e6d172d2d98e62b6f0b6e2954ebc9866e

Observation 6487bcb7-67de-4d45-b175-e474e34438e2 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 30

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source=pdf_text observed=2026-08-15T22:18:56.299950Z digest=sha256:6166fccff9c79c7593cc738113d69bb111c4b9df5beed5e4f4c4b0d4cbe050a6

Observation b23d9b95-e18f-41a8-ab65-bc0acb83adfc · outbound

This paper cites Langchain is a framework for developing applications powered by large language models (llms).,.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Langchain is a framework for developing applications powered by large language models (llms).,

Reference 31

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raw_fallback, observed 2026-08-15T22:18:57.927955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.304213Z digest=sha256:7342a4ee05197528bdd3a011dbfe3b24baf7e8c32dab19f38059225547fb86f1

Observation 1d7f494b-6672-49b3-b10b-100aa62252a5 · outbound

This paper cites Look Within, Why LLMs Hallucinate: A Causal Perspective.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Look Within, Why LLMs Hallucinate: A Causal Perspective

Reference 32

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source=pdf_text observed=2026-08-15T22:18:56.312109Z digest=sha256:549793f0276a5ffacd7585a49d974b399d765d123f5e8057a82163e0b097af79

Observation 8b57ff11-4370-4fda-9f2d-30fd562613bf · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Inference-time intervention: Eliciting truthful answers from a language model

Reference 33

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raw_fallback, observed 2026-08-15T22:18:57.897168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.345929Z digest=sha256:9e6eaf08b168d89b441d2734e6d7844afd4dc4573847e8132c1ef34d0a834af6

Observation a527ea8e-5ea9-413e-8b39-2ed05ecec9a4 · outbound

This paper cites DeepSeek-V3 Technical Report.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion DeepSeek-V3 Technical Report

Reference 34

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source=pdf_text observed=2026-08-15T22:18:56.405093Z digest=sha256:f552ce9134fcaf9da1d34743cad4aef1c9d5143f83c61f406ba2d0878adafd9d

Observation 1acde1b1-c901-46fe-8398-54f2f2792ca3 · outbound

This paper cites Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models

Reference 35

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source=pdf_text observed=2026-08-15T22:18:56.450677Z digest=sha256:4f607d1089e972cd7066c3d4b0e618dfdb5ede4075a61daff2be325d737c81e6

Observation 644dd6a1-f018-4276-aa77-35e458af0167 · outbound

This paper cites Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 36

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source=pdf_text observed=2026-08-15T22:18:56.455695Z digest=sha256:db8cf2ba617d920821aa33899a14bf3439dd2aa469a8a5f5e2fc1a61b135f4b1

Observation e3408453-67b4-45ae-abf5-cf573251aadc · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 37

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no resolver link, observed 2026-08-15T22:18:56.460403Z

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source=pdf_text observed=2026-08-15T22:18:56.460403Z digest=sha256:8472e44fdaa3b1efa66a008279939db16013e0739ae94ed32006bc1111ae5ad1

Observation efd05456-c356-41c4-b611-c6ddf59e0b8b · outbound

This paper cites Llama 2: open source, free for research and commercial use, 2023.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Llama 2: open source, free for research and commercial use, 2023

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-15T22:18:57.884715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.464700Z digest=sha256:5f9a1cfd89acbb4bcca66178e024ea867be0f70fe2d19d48946a755f463a6097

Observation 1bb7b653-eb80-43bc-8f3f-e20736906b77 · outbound

This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Introducing Meta Llama 3: The most capable openly available LLM to date, 2024

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-15T22:18:57.738918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.468628Z digest=sha256:e93286c8b5cf403b33ee901e015aae10131af303bb0a6daaa62a34aed65891e7

Observation eca27e1c-e00c-4351-9574-cdcfe764aace · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 40

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.472268Z digest=sha256:7e6f6ff2f487877fa4f2283a0418b28dfa00c7d9e121745f890df755adde3265

Observation 81243e9a-94d1-476a-ac69-8518f2ebcf3b · outbound

This paper cites Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction

Reference 41

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verified exact
local_arxiv, observed 2026-08-15T22:18:57.321095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.547557Z digest=sha256:fe523ce748942320fe0fb5516d5fbd08ee4f99d68afa0e0ca389dbb28cb107ca

Observation 068ea40a-4032-47fe-8e9a-5319c1e5af94 · outbound

This paper cites RAGTruth: A hallucination corpus for developing trustworthy retrieval-augmented language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion RAGTruth: A hallucination corpus for developing trustworthy retrieval-augmented language models

Reference 42

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.551924Z digest=sha256:c9ad3b2ffbf71049a243194b2894414a696093593cf4bea9a9e93622da75beac

Observation c743dd55-bf7a-418a-8de3-ad190b91e21c · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 43

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source=pdf_text observed=2026-08-15T22:18:56.555152Z digest=sha256:412bbdba3b8bbb6b917bfafee8db05b0297de6958af70b504fe17185670ac375

Observation 7bd25916-a563-4167-8dfe-9bb64d8aa75b · outbound

This paper cites Improving language under- standing by generative pre-training.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Improving language under- standing by generative pre-training

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.558896Z digest=sha256:4d9869a8da44bd88e220a556e387ed4341aa61c9da8e81637d680f41d334eeb6

Observation 3386db0f-8a95-47e9-8aa4-11f93419c6a6 · outbound

This paper cites The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.562587Z digest=sha256:c6d4f90f58740669fd894ee2898f237161871dfd5b867fb7718c52303787a932

Observation ef90003c-9a00-4db3-b61f-c5e098c85e1e · outbound

This paper cites Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer

Reference 46

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no resolver link, observed 2026-08-15T22:18:56.586844Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.586844Z digest=sha256:795c8d0b4cf048c1ab35ac0683b2d2582221398e33375543705f3ebf02bd55dd

Observation 07a510f6-6d55-4f53-9ab6-73b4a10226cc · outbound

This paper cites Extracting Latent Steering Vectors from Pretrained Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Extracting Latent Steering Vectors from Pretrained Language Models

Reference 47

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no resolver link, observed 2026-08-15T22:18:56.629850Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.629850Z digest=sha256:e1d752cdaf8963edd7ed3a81875b1d465232e168e9da59f387c3f53679a4844c

Observation b4dbfebd-174a-47de-8298-4ae1da55e7da · outbound

This paper cites Augmenting Self-attention with Persistent Memory.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Augmenting Self-attention with Persistent Memory

Reference 48

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.702059Z digest=sha256:84d3a8bc74f8d8fe2c8237d892bab5487758a7671d718bdc9df82f5121c61686

Observation e15249d5-4c4b-4a33-8c74-bdc654819c37 · outbound

This paper cites Transformer Layers as Painters.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Layers as Painters

Reference 49

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no resolver link, observed 2026-08-15T22:18:56.705729Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.705729Z digest=sha256:baff4d991f09546f9231e15e5550641636579f28edc8ff22f7c04746597bddcc

Observation 6cd3dc83-b2d8-4a0d-95cc-d4424675515a · outbound

This paper cites Redeep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Redeep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.709900Z digest=sha256:72e3407ee0b011aed6d5af9b087e55b0e364b20d2632a22312f6c41aca52f8f7

Observation 1518ad2a-7d61-4da7-aa21-a9656c99d839 · outbound

This paper cites Sequence to sequence learning with neural networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence to sequence learning with neural networks

Reference 51

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no resolver link, observed 2026-08-15T22:18:56.715057Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.715057Z digest=sha256:9e2ed6fe67f89ff72e9ceb84f762b5914273fe0f3efc5e775fae02cbfdb37c14

Observation 70a93df8-c574-4686-98c1-54a7de835446 · outbound

This paper cites Qwen2.5: A party of foundation models!, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Qwen2.5: A party of foundation models!, 2024

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-15T22:18:57.716241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.718371Z digest=sha256:95660308cb74c7c8e7915c91b69e8e36b2a3be70a1ba95183339d5d2f5c60231

Observation 74fa9150-7633-4f2b-8160-d10a81f08eec · outbound

This paper cites The best 7b model to date, apache 2.0, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The best 7b model to date, apache 2.0, 2024

Reference 53

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verified fuzzy
raw_fallback, observed 2026-08-15T22:18:57.672420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.763438Z digest=sha256:f85fbf55b0d0f37ca20ada7b492c8b7b8b0e2df2fa1c01a5d9633034adc96089

Observation 0d21a7dc-c2cc-45bc-b0e1-0539e9190df8 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 54

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source=pdf_text observed=2026-08-15T22:18:56.833963Z digest=sha256:a38e68fe657324866382a704de6f9286f161687da1606caff472b9834d837b0c

Observation 94481572-c72d-4020-a99d-e996ef94c196 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 55

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no resolver link, observed 2026-08-15T22:18:56.844818Z

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source=pdf_text observed=2026-08-15T22:18:56.844818Z digest=sha256:f8a4c0e2339869f356270d6d38abda836591de4bf3a493f5b0d00133c4c3c718

Observation 679f56a0-d2f8-4624-a36d-2f42a9f0a6bb · outbound

This paper cites Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 56

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no resolver link, observed 2026-08-15T22:18:56.848801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:56.848801Z digest=sha256:df1a4df5df374d040dae44753a4c320f65f6bfa113a87130bb9752c416b64fce

Observation 609f3348-1edc-4c9d-9d06-115de20c88c5 · outbound

This paper cites Wise: Rethinking the knowledge memory for lifelong model editing of large language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Wise: Rethinking the knowledge memory for lifelong model editing of large language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:18:57.504286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.854115Z digest=sha256:b8e6693033faf677af19c8b3fe66e346b63f993c71d8bffd78cc58f795b3c6ee

Observation 94619282-1e4e-48cd-8940-8dba8f746f5f · outbound

This paper cites Retrieval Head Mechanistically Explains Long-Context Factuality.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Retrieval Head Mechanistically Explains Long-Context Factuality

Reference 58

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no resolver link, observed 2026-08-15T22:18:56.859224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:56.859224Z digest=sha256:ea972bad0ce3ce002f0c66cf76b9a23d5ed746a0f5da5f06e5e80134a7d77118

Observation 3e8da0e0-97a8-4b74-86a9-c642463cd5ac · outbound

This paper cites Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023

Reference 59

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no resolver link, observed 2026-08-15T22:18:56.863539Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:18:56.863539Z digest=sha256:06fdf45c61d6c77f0234f088ad5728f1bbd29b02509a5465e063fa7c8c7d71b6

Observation e13741d4-cf4d-4c1d-98fb-32bc6c1872c8 · outbound

This paper cites Knowledge Conflicts for LLMs: A Survey.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Knowledge Conflicts for LLMs: A Survey

Reference 60

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no resolver link, observed 2026-08-15T22:18:56.941850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:56.941850Z digest=sha256:74b78ae0f7ef07be010e3b516e52af78205f37d555e407347b694ed0ad02fb89

Observation 8a701dfc-5cf1-4072-a961-75053956ad68 · outbound

This paper cites Cognitive Mirage: A Review of Hallucinations in Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Cognitive Mirage: A Review of Hallucinations in Large Language Models

Reference 61

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no resolver link, observed 2026-08-15T22:18:57.018155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:57.018155Z digest=sha256:09e8d513d1338aed1bacfa4f6b4578a52b8098dd13b8a230698898d3c72cee23

Observation 0bad0e04-9b94-47ba-bee5-f8d7a840385f · outbound

This paper cites InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers

Reference 62

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no resolver link, observed 2026-08-15T22:18:57.021763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:57.021763Z digest=sha256:37561538d7e156e9373344959eb26cab7baf21e4245a6c949a8107a4565ca0f9

Observation 265c1edc-c77e-4d95-97f3-efe22d4c161b · outbound

This paper cites Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024

Reference 63

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no resolver link, observed 2026-08-15T22:18:57.026584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:57.026584Z digest=sha256:61c0bf597d38dba3d27fe13a46d10c14dd64ceaa6f3875972cebbdabc8efe63c

Observation 2569a1a7-b213-465e-87d6-c5f9981716f6 · outbound

This paper cites Self-Adjust Softmax.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Self-Adjust Softmax

Reference 64

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no resolver link, observed 2026-08-15T22:18:57.031190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:57.031190Z digest=sha256:74f5cb652ae87b4b9578cc79175956d92e663b74e9666cb878e420a7b36cbb16

Observation fa57f143-9327-42c7-a785-ba0ce64e230a · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Representation Engineering: A Top-Down Approach to AI Transparency

Reference 65

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no resolver link, observed 2026-08-15T22:18:57.034972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:57.034972Z digest=sha256:205532d0136f0dec0058485f57bd90527643b449a4d46bf233843b6c5110627f

Observation 8ba07860-de8c-43a3-8f5f-6a095dbe40f6 · outbound

This paper cites an unresolved cited work.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Unresolved cited work

Reference 2025

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unresolved
raw_fallback, observed 2026-08-15T22:18:57.908535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:18:56.308172Z digest=sha256:5a7857a29fa937f51fdab3eed8a251d72a59da4d0ae1a4a8c8f4c73298815baa

Pith citing papers

No inbound Pith citation observations are available.